The purpose of The Science of Learning is to summarize the existing research from cognitive science related to how students learn, and connect this research to its practical implications for teaching and learning. This document is intended to serve as a resource to teacher-educators, new teachers, and anyone in the education profession who is interested in our best scientific understanding of how learning takes place.

This document identifies six key questions about learning that should be relevant to nearly every educator. Deans for Impact believes that, as part of their preparation, every teacher-candidate should grapple with — and be able to answer — the questions in The Science of Learning. Their answers should be informed and guided by the existing scientific consensus around basic cognitive principles. And all educators, including new teachers, should be able to connect these principles to their practical implications for the classroom (or wherever teaching and learning take place).

The Science of Learning was developed by member deans of Deans for Impact in close collaboration with Dan Willingham, a cognitive scientist at the University of Virginia, and Paul Bruno, a former middle-school science teacher. We are greatly indebted to the reviewers who provided thoughtful feedback and comments on early drafts, including cognitive scientists, teacher-educators, practicing teachers, and many others.

The Science of Learning does not encompass everything that new teachers should know or be able to do, but we believe it is part of an important — and evidence-based — core of what educators should know about learning. Because our scientific understanding is ever evolving, we expect to periodically revise. The Science of Learning to reflect new insights into cognition and learning. We hope that teachers, teacher-educators, and others will conduct additional research and gather evidence related to the translation of these scientific principles to practice.

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Here is a peek into the future of eLearning. The possibilities are endless, and The Future of eLearning Infographic highlights some of them. Where do you see eLearning headed to, in the future? What exciting opportunities will they open up for the world?

1. The death of the password is rapidly approaching - Developers need to evaluate security solutions that are able to apply contextual identity, adaptive risk and multi-factor authentication at authentication plus at any point throughout a session. This kind of continuous security approach will be embraced in the marketplace and become the new standard, because it ensures authenticity of users, devices, things and services at all times and can mitigate risk whenever an anomaly is detected, even during existing sessions. 2. Chip to cloud (or device to cloud) security protection will be the new normal - With most data chains now spanning the full spectrum of chip, device, network and cloud (plus all stages in between), many organizations are starting to realize a piecemeal approach to protection simply isn’t effective. This realization is spurring the adoption of more ‘chip to cloud’ security strategies, starting at the silicon level and running right through to cloud security. In this model, all objects with online capabilities are secured the moment they come online, meaning their identity is authenticated immediately. In doing so, it eliminates any window hackers have to hijack the identity of unsecured objects, thus compromising the entire data chain via a single entry point. 3. New technologies and standards that enable consumer privacy and security will become a competitive differentiator - They’re thinking of how to build delegation and consent capabilities fast enough to satisfy their customers, the business and the ever changing regulatory landscape. And they know they must do all of this with an architecture that scales to support millions of consumers and employees that can manage their own permissions. User Managed Access (UMA) makes this all possible. UMA is now becoming available and can deliver this kind of experience. Those who embrace it early will be able to build a far stronger relationship with customers built on trust and mutual benefit. 4. The evolving Internet of Things will change the way we interact with the world around us - This is about to change. As technology evolves and contextual big data becomes more meaningful, businesses and governments will be able to harness the IoT to fundamentally change our daily lives. Central to this is the increasingly intertwined relationship between people, ‘things’ and apps, meaning things like medical devices, thermostats, security cameras and cars are able to receive a constant stream of personalized information straight to their device. Key elements of the smart city concept are based on the ability to, for instance, use sensors connected to traffic lights to ease congestion, or use earthquake monitoring to shut down gas lines or other critical infrastructure that could be damaged in a quake. Securing systems such as these will be critical to public safety, and digital identity will be the critical security layer as smart cities get built out. 5. Tagging data at source will multiply the value of big data exponentially - In order to make sense of big data, it must be examined within the context it was collected. By tagging data at the point of collection with additional contextual information, the value that can be extracted from it across an organization is multiplied significantly. Key factors such as where and when the data was collected or who/what it was collected from are central to understanding data more effectively. 6. The fight to become the “Amazon of the IoT” will intensify - As the IoT’s vast potential becomes more apparent, we will start to see a growing number of organizations fighting to establish themselves as the go-to provider of IoT solutions, or the Amazon of the IoT. This will spur the rise of the IoT mega-platform; vast one-stop-shop Platform-as-a-Service solutions. The battle will likely play out across both the consumer and enterprise spaces and many of the usual suspects are already coming to the fore. Apple, Google and Intel are all vying for control of our homes, while Microsoft, IBM and Oracle are fighting over our businesses,

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